Thanks! (Was: Re: [R] R-2.1.0 is released)

[roger bos]

Even though R is free, that doesn't mean its not possible to support
it financially.  There is a provision for useRs to "join" the
foundation for a very small annual fee.  I stumbled on this a few
months ago and immediately joined because I think I benefit
tremendously from using R.  Check out the following link for more
info:

http://www.r-project.org/nosvn/foundation/memberlist.html

My hats off to the R core development team and also to all those who
contribute packages.

Thanks,

Roger


On 4/20/05, Naji <nassar at noos.fr> wrote:
> Some thoughts:
> * As it's free (no guarantee) and 'matrix oriented' (all the details can be
> accessed), R user has (sic) better control of what he's doing. In my
> opinion, R is a better learning tool than others
> * No doubt that the intangible asset of R is the R users and their
> commitment to share help, advices, code. In 15 years, I saw some software
> declining because they never succeeded activating their user community..
> * For researchers, sharing code catalyze citations. For example, as I'm
> modeling consumer choice in FMCG, I'm likely to use MNP package in R and
> then cite Kosuke Imai rather than developing any specific code.
> 
> On the other side, for professional issues, companies need commitment from a
> third party in order to get the adequate support ASAP (SAS, SPSS..). Don't
> forget that universities have to train their students with the softwares
> companies are using.
> As a researcher (R user) and practitioner (R+others), I'd hire
> - first one who control R AND the software used in the company
> - second choice : one who control software used in the company rather than R
> 
> Best regrds
> Naji
> 
> Le 20/04/05 19:43, «Spencer Graves» <spencer.graves at pdf.com> a écrit:
> 
> >       Permit me to echo Bjørn-Helge Mevik's thanks.
> >
> >       I've been telling people that R is rapidly becoming the platform
> > of choice for new statistical algorithm development for many reasons.
> >
> >       * First, it gives someone almost instant access to many of the
> > leading international experts in statistical computing.  This includes
> > free access to some of the best code available for almost any
> > statistical application.
> >
> >       * Second, it provides new algorithm developers with an easy way to
> > solicit feedback on their code from many others, including not only the
> > recognized experts in statistical computing but many others who know a
> > lot but may not be as well known.
> >
> >       * Third, distributing an R package is a type of publication.  It
> > may not count in the peer review process, but it might reach more people
> > and build one's reputation faster than a standard publication.  Also, I
> > wonder how this impacts how easy it might be to get something published
> > in a more traditional way?
> >
> >       At a conference recently, someone claimed that universities are
> > dumping SAS, SPSS, Minitab, etc., for R because R is free and the
> > alternatives are not.  I don't know the extent to which this is true,
> > but I can see another reason for doing this:  It's incredibly easy for
> > instructors to share their latest code with their students.
> >
> >       Does anyone have any thoughts on this?
> >
> >       Comments?
> >       Best Wishes,
> >       Spencer Graves
> >
> > Bjørn-Helge Mevik wrote:
> >
> >> I'd like to thank the developers in the Core Team for their great
> >> work!  R has become an invaluable and indispensible tool for (at least)
> >> me, much thanks to the hard and good work of the Core Team.
> >>
> >>
> >>
> >
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